chore: import upstream snapshot with attribution

python/tvm/topi/testing/gather_nd_python.py

@@ -0,0 +1,55 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+# pylint: disable=invalid-name, line-too-long, unused-variable, too-many-locals
+# ruff: noqa: RUF005
+"""gather_nd in python"""
+
+import numpy as np
+
+
+def gather_nd_python(a_np, indices_np):
+    """Python version of GatherND operator
+
+    Parameters
+    ----------
+    a_np : numpy.ndarray
+        Numpy array
+
+    indices_np : numpy.ndarray
+        Numpy array
+
+    Returns
+    -------
+    b_np : numpy.ndarray
+        Numpy array
+    """
+    a_shape = a_np.shape
+    indices_np = indices_np.astype("int32")
+    indices_shape = indices_np.shape
+    assert len(indices_shape) > 1
+    assert indices_shape[0] <= len(a_shape)
+    b_shape = list(indices_shape[1:])
+    for i in range(indices_shape[0], len(a_shape)):
+        b_shape.append(a_shape[i])
+    b_np = np.zeros(b_shape)
+    for idx in np.ndindex(*indices_shape[1:]):
+        a_idx = []
+        for i in range(indices_shape[0]):
+            indices_pos = tuple([i] + list(idx))
+            a_idx.append(indices_np[indices_pos])
+        b_np[idx] = a_np[tuple(a_idx)]
+    return b_np